-
crossref
Suman Saha, Md. Moniruzzaman Hemal, Atiqur Rahman, Kamruddin Nur
2023-10-04T16:22:34Z
置信度 0.70
-
Our lives are greatly impacted by the agricultural sector. The most signiftcant area of our economy is agriculture. Profttable agricultural goods are the outcome of effective supervision. Due to their ignorance about leaves illnesses, landowners harvest little…
crossref
Muhammad Saifuddeen
2025-10-22T15:55:38Z
置信度 0.70
-
crossref
Francis J. Pierce, Peter Nowak
2008-04-12T12:11:42Z
置信度 0.70
-
Laser rangefinder sensors have been developed and proved successful in numerous industrial applications. In agricultural engineering research, tapping of the potential of laser rangefinders is only just beginning to be realised. Laser rangefinder sensors use t…
crossref
D. Ehlert, R. Adamek, H-J. Horn
2023-11-08T02:34:31Z
置信度 0.70
-
Advancing precision agriculture for sustainable farming in Canada Canada aims for a more sustainable and environmentally responsible agricultural sector, with precision agriculture playing a crucial role, according to Professor Aitazaz A. Farooque and Professo…
crossref
Aitazaz A Farooque, Qamar U Zaman
2025-07-29T08:28:34Z
置信度 0.70
-
Remote Sensing (RS) is a tool that could help advance the application of spatial management techniques in agriculture. Unfortunately, it is often difficult for managers to acquire images. This project describes the development of a lightweight, low-cost platfo…
crossref
T. Stombaugh, A. Simpson, J. Jacobs, T. Mueller
2024-03-29T00:01:30Z
置信度 0.70
-
Estimating and predicting crop yields are very important for making farming more productive and long-lasting.It is necessary to use advanced technologies like Deep Learning (DL) and cloud-based real-time image processing because traditional methods are not alw…
crossref
2025-07-12T06:05:24Z
置信度 0.70
-
crossref
Latief Ahmad, Syed Sheraz Mahdi
2019-02-15T08:17:03Z
置信度 0.70
-
crossref
V.V.S.S Sirisha, G. Sahitya
2020-12-08T09:44:09Z
置信度 0.70
-
crossref
Mahesh Kumar Soma, Musarrat Shaheen, Farrah Zeba, M. Aruna
2019-04-10T11:32:01Z
置信度 0.70
-
Auto-boom controllers have recently surged and are dedicated to sprayers to provide both guidance and to control sprayer sections or individual nozzles. The use of those devices is based on a field boundary and internal overlapping georeferenced by a GNSS rece…
crossref
J.P. Molin, E.F. Reynaldo, F.P. Povh, J.V. Salvi
2023-11-08T02:34:31Z
置信度 0.70
-
What Precision Agriculture Really Looks Like on Indian Farms
crossref
Ezhilan Nanmaran
2026-04-02T08:24:35Z
置信度 0.70
-
Sampling designs are needed to characterize spatial variation in 'dynamic' soil properties – those which change with time. The objectives were to: (1) identify spatial scales of dynamic soil properties; and (2) relate spatial structure to surface conservation …
crossref
J.H. Grove, E.M. Pena-Yewtukhiw
2015-06-22T11:51:50Z
置信度 0.70
-
crossref
Nabeel Ahmed, Waleed Farooqi
2026-01-06T07:44:27Z
置信度 0.70
-
Spatially resolved management of soil fertility within a field requires rapid soil analysis at reasonable costs. X-ray fluorescence (XRF) spectroscopy can analyse samples for total elemental composition within a few minutes with little sample preparation. Samp…
crossref
R. Gebbers, M. Schirrmann
2015-06-22T11:51:50Z
置信度 0.70
-
crossref
Ashphak Khan, Prerana Jangid, Rajshri Patel, Kirti Girase 等
2025-11-10T11:37:17Z
置信度 0.70
-
A systems analysis and design of information requirements for an experimental farm is presented. This study was carried out on the university farm (UF) at the University of Copenhagen in Denmark. The UF has several farm sites, many employees and clients, and c…
crossref
S. Fountas, M. Kyhn, H. Lipczak Jakobsen, D. Wulfsohn 等
2008-11-27T06:26:50Z
置信度 0.70
-
Several methods are described that could be used by a farm manager to define the spatial and temporal stability within a field from a series of yield maps. A quantitative analysis of soil phosphate concentration and pasture dry matter yield data over 4 years (…
crossref
João M. Serrano, José O. Peça, José R. Marques da Silva, Shakib Shahidian
2010-04-21T12:42:23Z
置信度 0.70
-
Nitrogen (N) fertilization is crucial for the growth and development of wheat crops, and yet increased use of N can also result in increased stripe rust severity. Stripe rust infection and N deficiency both cause changes in foliar physiological activity and re…
crossref
R. Devadas, D. W. Lamb, D. Backhouse, S. Simpfendorfer
2015-03-21T06:02:09Z
置信度 0.70
-
There is an increasing interest in using 3D computer vision in precision agriculture. This calls for better quantitative evaluation and understanding of computer vision methods. This paper proposes a test framework using ray traced crop scenes that allows in-d…
crossref
M. Nielsen, H. J. Andersen, D. C. Slaughter, E. Granum
2007-01-16T18:58:44Z
置信度 0.70
-
This paper focuses on the economic feasibility of applying autonomous robotic vehicles compared to conventional systems in three different applications: robotic weeding in high value crops (particularly sugar beet), crop scouting in cereals and cutting grass o…
crossref
S.M. Pedersen, S. Fountas, H. Have, B.S. Blackmore
2026-03-09T10:17:01Z
置信度 0.70
-
crossref
Julie McClure
2015-04-06T11:39:40Z
置信度 0.70
-
Site-specific herbicide applications can save large amounts of herbicides and improve management practices. One crucial part of a system for site-specific weed management is the measurement of the spatial variability of weed densities. A system was developed t…
crossref
M. Weis, R. Gerhards
2023-11-08T02:34:31Z
置信度 0.70
-
Agriculture and farming are critical to the sustenance of human life and civilization by the production of raw materials for food and other products. Collection of real-time data on soil moisture content is done using a neutron moisture probe, and soil moistur…
crossref
Vinod Kumar Khanna
2024-10-24T17:48:26Z
置信度 0.70
-
crossref
2020-11-04T06:28:22Z
置信度 0.70
-
Water scarcity threatens the sustainability of crop production in several regions of the world. Precision irrigation may sustain productivity while using less water. However, several practitioners doubt the existence of spatial variability of soil water conten…
crossref
L. Longchamps, R. Khosla, R. Reich
2015-06-22T11:51:50Z
置信度 0.70
-
The aim of the project was to study the practicability of state-of-the-art techniques of four companies for the automatic recording of harvested quantities in permanent grassland and fodder crop production systems and to identify obstacles impeding a wider app…
crossref
F. Worek, S. Thurner
2021-06-25T06:54:58Z
置信度 0.70
-
Crop yield prediction is important for farmers to conduct proper field management and make marketing decisions. Yield prediction models built on single-type and same-year data may not reflect the holistic effect of environment and management on crop developmen…
crossref
Aijing Feng, Jianfeng Zhou, Earl Vories, Kenneth A. Sudduth
2023-09-05T11:02:25Z
置信度 0.70
-
Identification and characterization of yield limiting factors based on multi-year yield maps is important for delineating field management zones. Multi-year yield maps were derived from satellite images of a paddy-rice (Oryza sativa L.) study site with a conve…
crossref
Yi-Ping Wang, Shou-Hung Chen, Kuo-Wei Chang, Yuan Shen
2012-04-10T13:47:59Z
置信度 0.70
-
Protein content, which represents rice taste quality, must be estimated in order to create a harvesting plan as well as next year’s basal dressing fertilizer application plan. Ground-based hyperspectral imaging with high resolution (1 × 1 mm per pixel) was use…
crossref
Hiroyuki Onoyama, Chanseok Ryu, Masahiko Suguri, Michihisa Iida
2017-12-06T04:19:23Z
置信度 0.70
-
Abstract Canopy nitrogen content (CNC, kg/ha) provides crucial information for site-specific crop fertilization and the usability of Sentinel-2 (S2) satellite data for CNC monitoring at high fertilization levels in managed agricultural fields is still underexp…
crossref
Christian Bossung, Martin Schlerf, Miriam Machwitz
2022-06-03T19:51:02Z
置信度 0.70
-
The scope of this research focuses on the implementation of AI powered autonomous farming robots in precision agriculture to improve the management of crops, to reduce labor cost and to improve the productivity of the entire farm.This is to produce an integrat…
crossref
Omkar Reddy Polu
2025-10-17T13:45:24Z
置信度 0.70
-
crossref
2026-06-22T21:22:19Z
置信度 0.70
-
This study describes a method for vineyard zone delineation based on spatial interpolation of data on annual monitoring of grape and vine growth from 2007 to 2012 for four commercial vines (Cabernet Sauvignon, Mencía, Merlot and Tempranillo) located in the Bie…
crossref
Ana Belén González-Fernández, José Ramón Rodríguez-Pérez, Enoc Sanz Ablanedo, Celestino Ordoñez
2016-10-18T11:53:45Z
置信度 0.70
-
The area of sugar cane production in Brazil has substantially increased in the last few years due to the high demand for ethanol. It is estimated that the actual area, which is approximately 8 Mha, will increase to as much as 15 Mha in the next 10 years. In ad…
crossref
F. A. Rodrigues, P. S. G. Magalhães, H. C. J. Franco
2012-12-03T18:03:12Z
置信度 0.70
-
Precision in weed management can refer to: (i) more precise placement of a herbicide (at a fixed dose) to match weed distribution; (ii) continuous variation in herbicide dose in response to spatial fluctuations in weed density; and (iii) continuous reformulati…
crossref
Peter Cox, Dick Medd
2013-08-12T14:18:37Z
置信度 0.70
-
This chapter attempts an overview of the challenges and opportunities in bringing remote sensing for agriculture to the market. It also focuses on visible-infrared (VNIR) systems recognizing methods and instruments have been well established for some time, and…
crossref
2020-07-10T01:03:14Z
置信度 0.70
-
crossref
2025-12-17T09:10:11Z
置信度 0.70
-
crossref
YEE NEE KUAN, Kam Meng Goh, Li LI Lim
2024-05-21T15:19:42Z
置信度 0.70
-
crossref
Tahra ElObeid, Huda Muhaid, Ahmed Hamad
2026-05-29T11:36:54Z
置信度 0.70
-
crossref
Tomas Norton, Daniel Berckmans
2023-04-13T20:29:13Z
置信度 0.70
-
Precision agriculture utilizes data-driven, site-specific management practices to optimize inputs, including seeds, fertilizers, and irrigation, thereby enhancing yields, reducing costs, and minimizing environmental impacts. This review provides a comprehensiv…
crossref
Mrutyunjay Padhiary
2025-11-24T09:37:11Z
置信度 0.70
-
crossref
Rohit Lamba, Pooja Rani, Ravi Kumar Sachdeva, Priyanka Bathla
2026-03-27T09:52:36Z
置信度 0.70
-
Deep Learning (DL) through Convolutional Neural Networks (CNNs) has emerged as a critical player in classifying plant diseases from images. This prominence has intensified the demand for a substantial volume of annotated training data. However, acquiring such …
crossref
Alberto Carraro, Gaetano Saurio, Francesco Marinello
2024-07-29T18:18:35Z
置信度 0.70
-
Seed pods of oilseed rape (Brassica napus) are fragile at harvest maturity and seed loss can be a significant fraction of potential yield if bad weather occurs when the crop is most vulnerable. Even in good weather, loss of up to 25% has been reported when har…
crossref
D.M. Bruce, J.W. Farrent, C.L. Morgan, R.D. Child
2002-10-06T14:32:46Z
置信度 0.70
-
crossref
2020-04-17T07:07:53Z
置信度 0.70
-
Soil fertility is one of the most critical bases for high productivity and sustainability in crop production. Variable application of organic matter based on the digital map of within-field heterogeneity is effective for amending and enhancing soil fertility. …
crossref
Y. Inoue, K. Yoshino
2023-07-02T03:04:28Z
置信度 0.70
-
crossref
2019-12-30T07:01:52Z
置信度 0.70
-
Most commercially available yield monitoring technology for grain harvesting equipment is designed to work with paddle-type clean grain elevators. There are some harvesting machines such as peanut and dry edible bean harvesters that use bucket conveyors to mov…
crossref
R.S. Zandonadi, T.S. Stombaugh, D.M. Queiroz, S.A. Shearer
2023-11-08T02:34:31Z
置信度 0.70
-
The accurate interpretation of yield maps is a major issue for adequate field management decisionmaking processes. However, the variability in yield may be caused by quite different factors. In this context, georeferenced visual information on weed abundance m…
crossref
A. Ribeiro, M.C. Garcia-Alegre, L. Navarrete, C. Fernandez-Quintanilla
2024-03-29T00:01:30Z
置信度 0.70
-
crossref
2025-05-21T09:07:41Z
置信度 0.70
-
crossref
Thomas Selige, Urs Schmidhalter
2026-03-09T10:17:01Z
置信度 0.70
-
For six weeks in the summer, accompanied by several professional learning workshops throughout the school year, rural middle and high school mathematics and science teachers engage in a
crossref
Bradley Bowen, Alan Kallmeyer, Holly Erickson
2018-05-10T13:35:21Z
置信度 0.70
-
A Massey Ferguson 187 large square baler was instrumented with tension dynamometers in the bale chute support chains and differential cantilever beams at the bale chute pivot positions to facilitate measurement of bale weight. Weighing results from 12 wheat st…
crossref
Seamus Maguire, Richard J. Godwin, David F. Smith, Michael J. O’Dogherty
2024-03-29T00:01:30Z
置信度 0.70
-
The aim of this study was to delineate management zones by using topographical data, and to investigate how these management zones relate to soil parameters and yield. Elevation, as well as soil and yield data, were sampled in the field. Digital elevation mode…
crossref
Petter Pilesjö, Lars Thylén, Andreas Persson
2026-03-09T10:17:01Z
置信度 0.70
-
The implementation of artificial intelligence is having a transformative impact on precision agriculture by optimizing agricultural resources and minimizing environmental impact, with a focus on sustainable development. The objective of the research is to anal…
crossref
Verenice Sánchez Castillo
2024-07-25T18:44:21Z
置信度 0.70
-
crossref
Bhabashankar Sahu
2024-11-13T12:08:46Z
置信度 0.70
-
Accurate interpolation of soil and climate variables at fine spatial scales is necessary for precise field management. Interpolation is needed to produce the input variables necessary for crop modelling. It is also important when deciding on regulations to lim…
crossref
Pascal Monestiez, Wendy Meiring, Paul D. Sampson, Peter Guttorp
2007-09-28T13:18:45Z
置信度 0.70
-
The agricultural sector is undergoing a transformative paradigm shift with the integration of recommendation and prediction systems. These cutting-edge technologies are now crucial in determining how both farmers and sellers make decisions. Stakeholders in the…
crossref
Kaustubh Rathod, Devesh Rathi, Sankalp Naranje
2026-02-27T10:42:31Z
置信度 0.70
-
crossref
VLADIMIR BULATOVIĆ, TATJANA BUDIMIROV, NIKOLA SANTRAČ, ĐURO KRNIĆ 等
2024-10-31T21:27:07Z
置信度 0.70
-
Site-specific N management offers the potential to increase yields and improve N use efficiency. The objective of this study was to test the use of reflectance measurements to identify the spatial and temporal variation of corn N status. A field experiment was…
crossref
Simone Graeff, Wilhelm Claupein
2024-03-29T00:01:30Z
置信度 0.70
-
Digital agriculture is revolutionizing the global agricultural sector, aiming to optimize productivity, enhance competitiveness, and mitigate the negative effects on the environment. Precision agriculture, on one hand, is increasingly being adopted in larger a…
crossref
Sandra Sendra
2023-08-01T14:02:06Z
置信度 0.70
-
crossref
Muhammad Fazal Ijaz, Marcin Wozniak
2024-02-19T15:19:26Z
置信度 0.70
-
crossref
2020-12-29T09:34:37Z
置信度 0.70
-
<div class="htmlview paragraph">This paper describes sensors and systems developed, or under development, by researchers at Purdue University including: an automated soil nutrient mapping system; a real-time acoustic soil texture sensor; an improved, rea…
crossref
Mark T. Morgan, Daniel R. Ess
2010-10-08T16:01:02Z
置信度 0.70
-
crossref
Manjeet Singh, Aseem Vermaa, Vijay Kumar
2023-06-05T06:29:08Z
置信度 0.70
-
The paper provides an overview of foreign literature on the remote sensing applications in precision agriculture. Remote sensing applications in precision agriculture began with sensors for soil organic matter content, and have quickly advanced to include hand…
crossref
S. Yu. Blokhina
2018-10-18T20:20:20Z
置信度 0.70
-
ABSTRACT The rising global population, along with the challenges faced by conventional agricultural practices, has intensified the demand for smart agricultural solutions. In modern agriculture, the integration of Internet of things and machine learning‐deep l…
crossref
A. Subeesh, Naveen Chauhan, N. L. Kushwaha
2025-12-22T08:44:43Z
置信度 0.70
-
Agriculture requires the management of soil and water to increase yield and productivity with minimal environmental impact. Formers lack real time data like pH, moisture, and nutrients leads to improper irrigation and use of fertilizer. Our aim is to develop a…
crossref
Harpreet Kaur Thind, Shivakumar Nyamagoud, Sharan M Nurandevarmath, Shreeshail Kohalli 等
2026-03-31T19:49:08Z
置信度 0.70
-
Agriculture serves as the backbone of Indian Economy, with more than 50% of the population involved in farming activities. Precision agriculture, driven by advancements in IoT and machine learning, presents groundbreaking opportunities to enhance agricultural …
crossref
Maria Dominic Savio M, Akriti D, Naveen M, Rithvidas R
2025-06-27T17:43:50Z
置信度 0.70
-
Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics…
crossref
Munawar Hussain, Muhammad Ibrahim, Rab Nawaz Bashir, Rehan Ashraf 等
2026-04-10T13:00:14Z
置信度 0.70
-
crossref
Takuya Fujinaga
2024-01-22T22:02:42Z
置信度 0.70
-
Modern agriculture grapples with challenges such as unpredictable weather, biosecurity threats, market volatility, evolving regulations, and farmer health concerns. Effectively addressing these issues while maintaining sustainability demands informed decision-…
crossref
Mounia Mikram, Chouaib Moujahdi, Maryem Rhanoui
2025-04-02T11:34:57Z
置信度 0.70
-
In precision agriculture, it is very important to find cotton leaf diseases early and accurately in order to keep crop yields high and the economy stable. Traditional manual inspections take a lot of time, are subjective, and don’t always work well in differen…
crossref
Kanchan J. Kakade, Vijayshree A. More
2026-02-03T20:52:57Z
置信度 0.70
-
This article examines modern optical systems integrated into unmanned aerial vehicles (UAVs) and their role in the sustainable development of precision agriculture. The analysis covers sensor types (multispectral, hyperspectral, thermal cameras, LiDAR), their …
crossref
Zebo Tokhtaeva, Botir Salomov, Azizbek Tadjibaev, Sherali Urinov 等
2025-09-23T06:02:17Z
置信度 0.70
-
crossref
S Ashwanth, S Yamuna, S Bhuvaneswari, S Dhanushya 等
2026-01-21T21:06:06Z
置信度 0.70
-
Precision farming and artificial intelligence (AI) are transforming Indian agriculture by enhancing productivity, optimizing resource use, and ensuring sustainability. With over 58% of the Indian population dependent on agriculture for their livelihood, integr…
crossref
Avinash Kumar Gautam, Lekh Ram Verma, Monika Gautam
2025-12-31T04:48:15Z
置信度 0.70
-
It is a challenging undertaking to predict the prices of agricultural products especially in India, where majority of the households are always faced with economic insecurities and variable incomes. Local production is hardly ever predictable and it is the cas…
crossref
Jignesh Hirapara, Milan Doshi, Ripal Ranpara, Tushar Ranpariya 等
2025-10-10T17:35:02Z
置信度 0.70
-
Integrating artificial intelligence (AI), with edge computing, and precision agriculture is revolutionizing farming making it more resilient and sustainable. This article focuses on combine positive impact that the merger of these transformative technologies, …
crossref
Faizan Ali, Waheed Tariq, Ali Razzaq, Abdul Rehman 等
2025-02-14T10:49:51Z
置信度 0.70
-
crossref
2025-03-24T07:04:16Z
置信度 0.70
-
crossref
2025-01-27T08:06:38Z
置信度 0.70
-
Precision agriculture (PA) has emerged as a transformative approach to optimizing crop production, particularly for high-value crops like soybean. With the growing demand for increased soybean yields to meet global food security needs, PA technologies offer pr…
crossref
Yuting Zhong, Shuiliang Zhong
2025-01-03T08:34:19Z
置信度 0.70
-
crossref
Xudong Fang, Zhuangde Jiang
2025-04-26T14:08:10Z
置信度 0.70
-
crossref
Mujahid Pasha Syed, Jameel Ahamed
2025-11-06T14:37:47Z
置信度 0.70
-
The research evaluates the quality of the YOLOv8 architecture in terms of its efficiency in the fine-tuning scenario when it comes to detecting small objects, and the Brown Planthopper (BPH) in a farming setting will be considered as the species under research…
crossref
Nur Amirah Sabrina Luqman, Izanoordina Ahmad, Siti Marwangi Mohamad Maharum, Zuhanis Mansor 等
2025-11-14T18:46:50Z
置信度 0.70
-
To maximize the use of resources and increases crop productivity, this research proposes an end-to-end IOT-based precision agriculture system with real-time data gathering with the assistance of smart sensors, monitoring with drones, and analytics with AI. The…
crossref
Jackulin C, Malathi B, Janani J, Haripriya K 等
2025-05-29T17:06:27Z
置信度 0.70
-
The cereal leaf beetle (CLB; Oulema melanopus L., Coleoptera: Chrysomelidae) is a serious pest of wheat, capable of causing yield losses of up to 40% through photosynthetic impairment. Early detection and severity assessment are essential for effective and sus…
crossref
Sandra Skendžić, Hrvoje Novak, Monika Zovko, Ivana Pajač Živković 等
2025-12-02T15:03:13Z
置信度 0.70
-
Accurate grape cluster segmentation is crucial for developing automated vineyard harvesting systems and precision agriculture applications. This paper presents a novel hybrid approach combining YOLOv8 object detection with Meta’s Segment Anything Model (SAM) f…
crossref
Sarish Gyale, Utkarsh Singh, Yashvardhan Tekavade, Parul Jadhav
2025-12-11T18:43:51Z
置信度 0.70
-
crossref
Shuming Yang, Shanshan Chen
2025-04-26T14:08:10Z
置信度 0.70
-
Effective agricultural water management relies on innovative tools like remote sensing to assess irrigation needs at basin scales. This study, part of the WAter DIgital Twin (WADIT) project, aims to support water balance modeling by precisely identifying tree …
crossref
Andrea Guerriero, R. Matarrese, C. Cavone, A. Ottaviano 等
2025-10-30T21:21:39Z
置信度 0.70
-
crossref
Saifeldin Hassan, Zainab Khan, Abhilasha Singh, Jinane Mounsef 等
2025-02-17T18:28:27Z
置信度 0.70
-
This research addresses critical challenges in global agriculture–particularly climate change, soil degradation, and water scarcity–by advancing smart farming technologies. Automated systems powered by computer vision (CV) and deep learning (DL) enable early p…
crossref
Tarik Idrissi, Abdessamad El Rharras, Rachid Saadane
2025-05-26T17:50:32Z
置信度 0.70
-
crossref
Xiangfeng Duan, Yu Huang
2025-06-30T13:21:39Z
置信度 0.70
-
crossref
Huiying Zhao, Shuming Yang
2025-04-26T14:08:15Z
置信度 0.70
-
crossref
Huiying Zhao, Shuming Yang
2025-03-07T06:33:34Z
置信度 0.70
-
Precision agriculture has emerged as a vital approach to modern agricultural management, addressing the dual challenge of increasing food production while preserving the environment. Its importance lies in its ability to leverage advanced technologies to optim…
crossref
Fernanda Mara Fernandes, Murillo Ferreira Dos Santos, Maurício Herche Fófano De Morais, José Lima 等
2025-06-10T13:48:32Z
置信度 0.70
-
Abstract: This concept paper presents Mobile Agricultural Robots (MARs) for the development of precision agriculture and implicitly the smart farms through knowledge, reason, technology, interaction, learning and validation. Finding new strategies and control …
crossref
Marius Pandelea, Gidea Mihai, Mihaiela Iliescu, Luige Vladareanu
2022-08-21T14:48:25Z
置信度 0.70
-
This paper presents a multi-robot system for the autonomous detection and treatment of pests. The system comprises two inspection robots, based on commercial electric vehicles, and two treatment robots equipped with electric sprayers. All four robots are fitte…
crossref
A. Ribeiro, J. M. Bengochea-Guevara, D. Andújar, C. Ranz 等
2025-08-18T08:41:08Z
置信度 0.70
-
Cassava crop age estimation is crucial for optimizing irrigation, fertilization, and pest management, which are key components of precision agriculture. Accurate knowledge of crop age allows for effective resource application, minimizing environmental impact a…
crossref
Sornkitja Boonprong, Tunlawit Satapanajaru, Ngamlamai Piolueang
2024-07-04T03:52:58Z
置信度 0.70
-
crossref
2026-05-05T06:02:56Z
置信度 0.70